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Hi,
Iam having a challenge to transition data structure, I need the grey column (type of transactions: sales, debit, credit, etc.) become in columns, ao I am able to subtract some of those columns based on the attirbutes. How do I transition transaction type to columns:
For example:
Custome Product Date Transfer Debit Sales
this is what I currently have
Solved! Go to Solution.
Hi @Anonymous ,
I created a sample pbix file(see attachment), please check whether that is what you want.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("rZNNC4IwGMe/iuys6DPf1jG06BAo6U08LFsUVBOdh759O4RSytjA097gx7P/73mqCm2P6e60z7K0QDYq6IP1cs350NxYbzkH2rZvq+RCXia8Y9b3RR7BBRd7GOTWISGq7T9W2dFXf2WdNg6POEzmuJSd70Kb5U+sYM5Khl7wpzYsGGGRP4flHb8MjX5p4URbKC2lgmmjohHlL6DMZMbKxIxlEmVmZjI3a8oEb1WbAOvpBLyiT1CPgLFQCJTTbmYUQuWsmyqNlF81zC1W9od5buSnQeoP", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Customer Group" = _t, Transaction = _t, #"LV2 PL" = _t, #"Product Group" = _t, Dates = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Customer Group", type text}, {"Transaction", type text}, {"LV2 PL", type text}, {"Product Group", type text}, {"Dates", type date}, {"Value", Int64.Type}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Customer Group", "LV2 PL", "Product Group", "Dates", "Value"}, "Attribute", "Transaction Type"),
#"Pivoted Column" = Table.Pivot(#"Unpivoted Columns", List.Distinct(#"Unpivoted Columns"[#"Transaction Type"]), "Transaction Type", "Attribute")
in
#"Pivoted Column"
If the above one is not working for you, please provide more details on your requirement. Thank you.
Best Regards
Hi @Anonymous ,
I created a sample pbix file(see attachment), please check whether that is what you want.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("rZNNC4IwGMe/iuys6DPf1jG06BAo6U08LFsUVBOdh759O4RSytjA097gx7P/73mqCm2P6e60z7K0QDYq6IP1cs350NxYbzkH2rZvq+RCXia8Y9b3RR7BBRd7GOTWISGq7T9W2dFXf2WdNg6POEzmuJSd70Kb5U+sYM5Khl7wpzYsGGGRP4flHb8MjX5p4URbKC2lgmmjohHlL6DMZMbKxIxlEmVmZjI3a8oEb1WbAOvpBLyiT1CPgLFQCJTTbmYUQuWsmyqNlF81zC1W9od5buSnQeoP", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Customer Group" = _t, Transaction = _t, #"LV2 PL" = _t, #"Product Group" = _t, Dates = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Customer Group", type text}, {"Transaction", type text}, {"LV2 PL", type text}, {"Product Group", type text}, {"Dates", type date}, {"Value", Int64.Type}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Customer Group", "LV2 PL", "Product Group", "Dates", "Value"}, "Attribute", "Transaction Type"),
#"Pivoted Column" = Table.Pivot(#"Unpivoted Columns", List.Distinct(#"Unpivoted Columns"[#"Transaction Type"]), "Transaction Type", "Attribute")
in
#"Pivoted Column"
If the above one is not working for you, please provide more details on your requirement. Thank you.
Best Regards
Pivot?
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